Unveiling the Powerhouse: HPC Techniques for Distributed Computing

Join SageCor Solutions as we welcome Dr. Mike Mikailov, who will lead us on a journey into the world of High-Performance Computing (HPC) and its game-changing performance required for Artificial Intelligence, groundbreaking science, and engineering. In this talk, we'll dive deep to understand the core principles of distributed computing and explore the fascinating world of parallel programming. We'll delve into the magic of cluster management, the brain behind coordinating thousands of machines in perfect harmony. Get a glimpse into the future of HPC’s cutting-edge advancements shaping the future of cloud-based supercomputers and the rise of AI.

* Please note this is a virtual meetup that will be broadcasted via Zoom *

Leave armed with:

• A firm grasp of HPC concepts and their practical applications.
• An appreciation for the intricate dance between hardware, software, and algorithms in distributed computing.
• Inspiration to explore how HPC can empower your own research and innovation.

This talk is your ticket to:

• Supercharge your understanding of parallel processing and distributed computing.
• Discover the hidden potential within networks of interconnected machines.
• Be part of the future, where computational power unlocks new frontiers of knowledge and discovery.

Speaker BIO:

Dr. Mike Mikailov (Member, IEEE) received the B.S. and M.Sc. degrees in mathematics from Baku State University, (Baku, Azerbaijan), former USSR, in 1980, the Ph.D. degree in computer science from the Glushkov Institute of Cybernetics, Academy of Sciences of Ukraine, Kyiv, Ukraine, in 1987, and the MBA degree in international management from the Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX, USA, in 2006.

From October 2004 to March 2009, he was the Director of Software Development with L-3 Communications. Since May 2009, he has been a Computer Scientist with the Center for Devices and Radiological Health, U.S. Food & Drug Administration, Silver Spring, MD, USA. He has authored/coauthored more than 20 articles in peer-reviewed journals and conference proceedings in former USSR and 10 articles in peer-reviewed journals in the USA. His current research interests include artificial intelligence and machine learning algorithms in digital pathology and other medical imaging applications, high-performance computing techniques, and parallel and distributed computing techniques.